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# Senior Data Engineer

- **Company:** EPAM Systems, Inc.
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Github, Scrum Methodology, SAP NetWeaver Data Management, SonarQube, SQL Databases, Enterprise Data Management, Data Processing, Data Ingestion, Data Strategy, Documentation System, Build Management, Pytest, Kubernetes, Information Technology, Data Analytics, Azure Synapse Analytics, Stream Analytics, Data Pipelines, Amazon Redshift, Databricks
- **Published:** October 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=67897378acab3133

## About the Role

* 8+ years of professional experience in data engineering or related roles
 * Master-level expertise in AWS, Azure, or SAP data ecosystems
 * Strong proficiency in ELT, data modeling, and data integration
 * Skilled in data manipulation, processing, and orchestration frameworks
 * Hands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTest
 * Proficiency with GitHub, GitHub Actions, and Azure DevOps
 * Strong communication and collaboration skills to align technical and business stakeholders
 * Proven ability to lead solution delivery and enhance team performance
 * Strong analytical decision-making and governance capabilities
 * Bachelor's degree in Computer Science, Data Engineering, or a related discipline

Nice to have

 * Experience managing agile or scrum teams
 * Exposure to BPC or other enterprise planning tools
 * Experience working within external technical ecosystems and vendor environments
 * Familiarity with MKDocs documentation tools
 * Experience in commodity trading and supply operations, ideally within the energy sector

## Description

* Design and build scalable data solutions and pipelines for enterprise data platforms
 * Develop data models, manage ETL/ELT processes, and ensure data quality and compliance
 * Collaborate with stakeholders to embed data-driven thinking across business functions
 * Implement efficient data ingestion and integration workflows across cloud environments
 * Drive adoption of data foundation initiatives and best engineering practices
 * Coordinate change, incident, and problem management processes
 * Mentor and guide junior data engineers on solution design and technical practices
 * Present data insights, architecture reports, and recommendations to key stakeholders
 * Ensure implementation efficiency and consistent project delivery standards
 * Contribute to internal communities, including Centers of Excellence (CoE) and Communities of Practice (CoP)